A performance evaluation method for machine learning cloud

0Citations
Citations of this article
2Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In recent years, the application of machine learning algorithm is more and more extensive, and the combination of cloud platform and machine learning algorithm is closer. With the popularity of cloud platform, more and more cloud platform providers, the comparison of performance of different cloud platforms becomes crucial. The cloud platform performance benchmark can provide a relatively objective reference for consumers, However, the current mature cloud platform performance benchmarks cannot meet the requirements of testing the machine learning capabilities of cloud platforms, while the recent ones just only test the performance of machine learning. Based on the previous cloud platform performance testing methods, this paper designed a cloud platform performance evaluation method for machine learning applications based on the combination of AI-based testing benchmark and CPU-based testing benchmark, which can not only evaluate the performance of cloud platform in terms of CPU, but also test the performance of cloud platform in terms of GPU, running machine learning algorithms.

Cite

CITATION STYLE

APA

Zhu, Y., Yang, S., Liu, Y., Zhao, L., & Fu, Z. P. (2020). A performance evaluation method for machine learning cloud. In Communications in Computer and Information Science (Vol. 1256 CCIS, pp. 249–259). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-15-8135-9_18

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free